龙胆祛湿汤加减联合海棠丁香凝胶治疗亚急性湿疹36例

目的：观察龙胆祛湿汤加减联合海棠丁香凝胶治疗亚急性湿疹（湿热蕴肤型）的临床疗效。方法：将76例亚急性湿疹（湿热蕴肤型）患者随机分为治疗组36例与对照组40例。治疗组采用龙胆祛湿汤加减联合海棠丁香凝胶治疗,对照组采用盐酸左西替利嗪治疗。观察2组治疗前后症状体征评分,评定临床疗效。结果：总有效率治疗组为97.22%,对照组为82.50%,组间比较,差异有统计学意义（P<0.05）。结论：龙胆祛湿汤加减联合海棠丁香凝胶治疗亚急性湿疹（湿热蕴肤型）的临床疗效优于盐酸左西替利嗪治疗,值得临床推广应用。     

用于海洋沉积物中厌氧氨氧化细菌分子生态学研究的引物比较

为比较厌氧氨氧化细菌16SrRNA基因的2对特异性引物(Amx368F/Amx820R、Brod541F/Amx820R)在其分子生态学研究方面的优点与不足,本研究采用高通量测序和qPCR技术对长江口及其邻近海域沉积物中厌氧氨氧化细菌细菌的群落组成、多样性和丰度进行比较分析,结果表明,引物Amx368F/Amx820R特异性较高,能够较为完整地反映沉积物中厌氧氨氧化细菌的多样性信息,且其覆盖的厌氧氨氧化细菌丰度与功能基因hzo丰度正相关(P<0.01);而引物Brod541F/Amx820R特异性较低,覆盖部分厌氧氨氧化细菌及其他多个门的细菌,其量化的厌氧氨氧化细菌与功能基因hzo丰度无明显相关关系(P>0.05)。因此,引物Amx368F/Amx820R能够更加真实地反映厌氧氨氧化细菌在海洋沉积物中的群落特征,在其分子生态学研究中更具优势。     

Bioactive substances of various seaweeds and their applications and utilization

Over the past century or more,traditional uses of seaweeds began and initially comprised the simple collection,sorting and drying of seaweeds harvested from the wild,or cast upon the beach,for use as soil“manure/fertilizer/improver”.Some macroalgae were used for unprocessed food purposes and subsequently harvested and cultivated biomasses of selected brown and red seaweeds becameindustrially processed to yield alginates,mannitol,iodine,agar,agarose,carrageenan,and more recently biostimulants,etc.Products from various seaweeds are very diverse and are commonly applied in a range that includes textiles and dying,food/feed and supplements and specialized medical applications.     

Preparation and characterization of agar,agarose,and agaropectin from the red alga Ahnfeltia plicata

Agar,agarose,and agaropectin were extracted from the red alga Ahnfeltia plicata,and their properties and structures were characterized.Agar was extracted by a comparatively low alkaline consumption of 1.2%.It exhibited a gel strength of 1 152.50±74.25 g/cm^2 and a sulfate content of 0.55%±0.08%.The yield of agar from A.plicata was 24.53%,which is higher than those of other agarophytes commonly used in China.Three kinds of the method were compared for the purification of agarose,and the physicochemical properties of agarose that was prepared under the optimal condition were identical to those of commercially available agarose.Furthermore,agaropectin was purified from A.plicata and characterized by GC,HPLC,UV-spectrum,and FI-IR to understand its composition and structure.It was the first time to comprehensively study the agar and its fractions from the red alga of A.plicata.This research provided an eco-friendly agar extraction method from A.plicata and revealed its potential application for the production of agar,agarose,and agaropectin.     

无人海洋测绘技术体系构建

随着无人技术的快速发展,无人测绘的时代即将到来。本文分析了无人时代技术特征与海洋测绘发展机遇;讨论了无人海洋测绘新理念,构建了无人海洋测绘技术体系,论述了无人海洋测绘技术关键技术;展望了无人海洋测绘技术发展趋势,及其在海洋经济、海洋可持续发展中的应用前景。     

Response of Microbial Communities in Soil to Multi-level Warming in a Highland Barley System of the Lhasa River

No studies have examined the effect of experimental warming on the microbial biomass and community composition of soil in agricultural ecosystem on the Qinghai-Tibet Plateau. Thus it is unclear whether the influences of experimental warming on microbial communities in soil are related to warming magnitude in croplands on this Plateau. This study performed warming experiment (control, low- and high-level) in a highland barley system of the Lhasa River in May 2014 to examine the correlation between the response of microbial communities in soil to warming and warming magnitude. Topsoil samples (0-10 and 10-20 cm) were collected on September 14, 2014. Experimental warming at both low and high levels significantly increased soil temperature by 1.02 ℃ and 1.59 ℃, respectively at the depth of 15 cm. Phospho lipid fatty acid (PLFA) method was used to determine the microbial community in soil. The low-level experimental warming did not significantly affect the soil’s total PLFA, fungi, bacteria, arbuscular mycorrhizal fungi (AMF), actinomycetes, gram-positive bacteria (G⁺), gram-negative bacteria (G^-), protozoa, the ratio of fungi to bacteria (F/B ratio), and ratio of G⁺ to G^- (G⁺/G^- ratio) at the 0-10 and 10-20 cm depth. The low-level experimental warming also did not significantly alter the composition of microbial community in soil at the 0-10 and 10-20 cm depth. The high-level experimental warming significantly increased total PLFA by 74.4%, fungi by 78.0%, bacteria by 74.0%, AMF by 66.9%, actinomycetes by 81.4%, G⁺ by 67.0% and G^- by 74.4% at the 0-10 cm depth rather than at 10-20 cm depth. The high-level experimental warming significantly altered microbial community composition in soil at the 0-10 cm depth rather than at 10-20 cm depth. Our findings suggest that the response of microbial communities in soil to warming varied with warming magnitudes in the highland barley system of the Lhasa River.     

南海北部水合物富集区水道特征对比与成因分析

天然气水合物作为现今乃至未来的重要清洁能源之一,其沉积环境和成矿条件的研究一直是国内外地质学家关注的热点问题,我国2007年、2013年及2015年已先后在神狐、和东沙海域多次成功钻获了天然气水合物实物样品。由此南海北部陆坡成为探讨天然气水合物沉积成因与成矿条件的重要试验区。然而,南海北部陆坡区的神狐、东沙及琼东南三个海域均有不同程度的天然气水合物发现,其各自的水深、沉积特征、气源成因及水合物成矿条件各有特点。本文利用地震沉积学原理,结合不同沉积相和沉积演化和古地貌、海平面变化和构造运动等因素,识别出不同类型的地震相。通过对比南海北部陆坡区域的水道系统的MTDs,认为其发育位置、展布和控制因素的不同影响了沉积展布。其中东沙区域位于近物源的上陆坡,神狐区域位于正常的缓陆坡区域,琼东南区域位于远离物源的海底平原区域。并且,水道系统可以分成侵蚀型,侵蚀-加积型和加积型,MTDs也可以分成头部拉张型,中部过渡型和趾部挤压型。     

番红砗磲外套膜色素提取条件优化及成分分析

以番红砗磲(Tridacna crocea)为实验对象,通过单因素对比实验对其外套膜色素的提取条件进行了优化,并利用薄层层析色谱法对色素组成进行了初步分析。结果表明:丙酮和乙醇为适宜的番红砗磲外套膜色素提取剂;使用丙酮为提取剂时,浸提时间为4 h,提取温度为25℃,料液比为1︰40。使用乙醇为提取剂时,浸提时间为4 h,提取温度为30℃,料液比为1︰200;利用薄层色谱法分离外套膜颜色为蓝色和红棕色的番红砗磲外套膜色素后发现,蓝色番红砗磲外套膜色素由9种色素组分构成,红棕色个体番红砗磲外套膜色素由10种色素组分构成。     

时间尺度重构EEMD-GRNN改进模型预测PM2.5的研究

合理构建PM_2.5浓度预测模型是科学、准确地预测PM_2.5浓度变化的关键。传统PM_2.5预测EEMD-GRNN模型具有较好的预测精度,但是存在过于关注研究数据本身而忽略其物理意义的不足。本研究基于南京市2014-2017年PM_2.5浓度时间序列数据,分析PM_2.5浓度多尺度变化特征及其对气象因子和大气污染因子的尺度响应,基于时间尺度重构进行EEMD-GRNN模型的改进与实证研究。南京市样本数据PM_2.5浓度变化表现为明显的天际尺度和月际尺度,从重构尺度（天际、月际）构建GRNN模型更具有现实意义;同时,PM_2.5对PM₁₀、NO₂、O₃、RH、MinT等因子存在多尺度响应效应,以其作为GRNN模型中的输入变量更具有时间序列上的解释意义。改进后的EEMD-GRNN模型具有更高的PM_2.5浓度预测精度,MAE、MAPE、RMSE和R²分别为6.17、18.41%、8.32和0.95,而传统EEMD-GRNN模型的模型有效性检验结果分别为8.37、27.56%、11.56、0.91。对于高浓度天（PM_2.5浓度大于100 μg/m³）的预测,改进模型更是全面优于传统EEMD-GRNN模型,MAPE为12.02%,相较于传统模型提高了9.03%。     

基于国产高分遥感的人工种植红树林种间分类方法研究——以广西茅尾海红树林为例

红树林的种间结构组成对红树林生态系统的健康和发展至关重要,而红树林种间分类问题一直以来都是基于遥感手段的红树林监测中的难点。针对该问题,以人工种植为特点的广西茅尾海红树林遥感种间分类为例,基于面向对象的分类思想,提出了一种现场样本与分割对象相结合的红树林种间分类方法。利用GF-2 PMS1高分辨率卫星遥感影像数据,开展了广西茅尾海红树林湿地典型植被精细分类和空间分布研究,并将分类结果与基于像素和传统面向对象SVM分类方法进行了对比。结果显示:总体上,面向对象分类方法更适合用于茅尾海红树林湿地典型植被分类;对于局部混生明显的区域使用基于像素SVM分类方法效果会更好;传统面向对象分类方法中将整个影像分割对象单元作为训练样本可能会在某种程度上造成负面影响。因此,使用文中提出的样本选择新方法进行面向对象分类精度最高,总体精度达到了93.13%,Kappa为0.89。